A decontaminated, calibrated differential-diagnosis training corpus for the Adaption Labs
AutoScientist Challenge (Healthcare). Each record pairs a patient presentation with a
ranked top-5 differential — common explanations first, each with an ICD-10 code, a calibrated
confidence, and the discriminating feature; rare diagnoses are kept as low-confidence
must-not-miss entries rather than over-called.
5,482 rows. Used to… See the full description on the dataset page:
https://huggingface.co/datasets/shariqazeem/psiddx-clinical-ddx.
